Towards Blockchain-based Auditable Storage and Sharing of IoT Data
By Hossein Shafagh, Anwar Hithnawi, Simon Duquennoy. Cloud Computing Security Workshop, 2017
452 citations recorded by the source corpus.
Today the cloud plays a central role in storing, processing, and distributing data. Despite contributing to the rapid development of IoT applications, the current IoT cloud-centric architecture has led into a myriad of isolated data silos that hinders the full potential of holistic data-driven analytics within the IoT. In this paper, we present a blockchain-based design for the IoT that brings a distributed access control and data management. We depart from the current trust model that delegates access control of our data to a centralized trusted authority and instead empower the users with data ownership. Our design is tailored for IoT data streams and enables secure data sharing. We enable a secure and resilient access control management, by utilizing the blockchain as an auditable and distributed access control layer to the storage layer. We facilitate the storage of time-series IoT data at the edge of the network via a locality-aware decentralized storage system that is managed with the blockchain technology. Our system is agnostic of the physical storage nodes and supports as well utilization of cloud storage resources as storage nodes.
Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/24747c62e558cad008e9a65c9a7e2d463cd9f2de
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Zehui Xiong
- Dusist Niyato
- Ala Al-Fuqaha
- Francesco Longo
- Ping Wang
- Paolo Mori
- Fabio Antonelli
- Neeraj Kumar
In Computer Networks and Communications
- Zehui Xiong
- Dong In Kim
- Dinh Thai Hoang
- Dusist Niyato
- Ping Wang
- Yonggang Wen
- Ala Al-Fuqaha
- Francesco Longo
In Information Systems
- Dusist Niyato
- Zehui Xiong
- Ala Al-Fuqaha
- Francesco Longo
- Ping Wang
- Paolo Mori
- Neeraj Kumar
- Yonggang Wen
Citations in the corpus
- Blockchain 3.0 applications survey (2020, methodology): “Finally, in [102], [103], [104], and [105], the blockchain is used as Access Control tool for the Internet of Things (see Table 4”
- Applications of Blockchains in the Internet of Things: A Comprehensive Survey (2019, background): “[104] propose an blockchain-based access control solution for data stored in off-chain Decentralized Hash Tables (DHT).”
- Blockchain and IoT Integration: A Systematic Survey (2018, background): “[85]; Storj [87]; Enigma [91,111] Filament [59]; Vučinić et al.”
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, background): “the main blockchain can also be found in works such as [185]–[187].”
- Security Services Using Blockchains: A State of the Art Survey (2018, unknown): “[63] use the blockchain network to securely store and manage the access permissions.”
- Blockchain for AI: Review and Open Research Challenges (2019, background): “Blockchain-based decentralized storage infrastructure facilitate in cryptographically secure data storage across the participating networks [38], [62]–[64].”
- Blockchain Meets Cloud Computing: A Survey (2020, unknown): “Following the exploration above, Shafagh et al. [186] realized secure and reliable access control and key management for the off-chain storage system with the support of blockchain.”
- Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges (2020, background): “Consensus: The PoW protocol is responsible to verify every action in the network which is essential to prevent a single miner node from dominating the entire blockchain network and also to manipulate the transactions history [26].”
- A systematic literature review of blockchain-based applications: Current status, classification and open issues (2019, unknown): “networks of RFID sensors enable the automated processing of products in multiple contexts, such as in food supply chains, transportation services or inventory management (Liu et al., 2017; Shafagh et al., 2017).”